{
  "docId": "019dd923-5e88-73ef-bd5c-f341d4394195",
  "docSlug": "46f66c49fd159048",
  "documentTitle": "2018 Air Street Capital The State of AI Report 2018",
  "authorId": "AirStreetCapital",
  "authorName": "Air Street Capital",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "vc_research",
  "sourceTypeLabel": "VC research",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.777,
  "pageNumber": 107,
  "pageCount": 156,
  "prevPage": 106,
  "nextPage": 108,
  "slideType": "industry_trends",
  "function": "present_framework",
  "density": "overcrowded",
  "nDataPoints": 0,
  "notes": "The slide uses a list-based structure to categorize automation technologies.",
  "elementsJson": [
    "bullet_list",
    "logo_grid"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5e88-73ef-bd5c-f341d4394195/107",
  "deckHref": "/decks/019dd923-5e88-73ef-bd5c-f341d4394195",
  "deckJsonHref": "/decks/019dd923-5e88-73ef-bd5c-f341d4394195.json",
  "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-f341d4394195#slide-107",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "Where and how is machine learning being used effectively?",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd952-41ac-7180-a814-9dad7e193ebf",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.06,
        "w": 0.8,
        "x": 0.08,
        "y": 0.44
      },
      "kind": "image",
      "text": "UiPath, BluePrism, Automation Anywhere, WorkFusion",
      "attrs": null,
      "subkind": "logo-grid",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "6bf43231-7333-483f-8300-863da5052a53",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.06,
        "w": 0.6,
        "x": 0.08,
        "y": 0.82
      },
      "kind": "image",
      "text": "Zapier, MuleSoft, IFTTT, tray.io",
      "attrs": null,
      "subkind": "logo-grid",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "8419f933-2308-4efd-9d91-3ced3bc7b038",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.06,
        "w": 0.6,
        "x": 0.08,
        "y": 0.63
      },
      "kind": "image",
      "text": "Hyperscience, omni:us, Ripcord",
      "attrs": null,
      "subkind": "logo-grid",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "c6b6285c-0c8c-454f-88c2-09cedcf142ae",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.9,
        "x": 0.05,
        "y": 0.72
      },
      "kind": "list",
      "text": "Software task automation: While not using machine learning per se, the ability to connect different API-driven software together to form workflows enables task automation in cloud-based enterprises.",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "50928387-6d2d-43c5-b8ba-893a43b0a02c",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.9,
        "x": 0.05,
        "y": 0.53
      },
      "kind": "list",
      "text": "Document digitisation: Converting legacy paper documentation into digital records to simplify and automate office work. Based on (semi) supervised computer vision and optical character recognition.",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "7ca8a289-2e40-44f3-a7c0-34a081ef449d",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.9,
        "x": 0.05,
        "y": 0.28
      },
      "kind": "list",
      "text": "Robotic process automation: Creating automated “software robots” to replicate the repetitive desktop-based processes that human workers are otherwise doing. Computer vision and NLP can be used to understand what’s on the screen and flexible decision making will help solve more complex tasks.",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "e39f1202-e849-499b-b8b0-7564b8f0ac6f",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.45,
        "x": 0.02,
        "y": 0.22
      },
      "kind": "title",
      "text": "Where and how is machine learning being used effectively?",
      "attrs": null,
      "subkind": "action-title",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "045fa520-cd7c-4b59-8eba-86670279358a",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.04,
        "w": 0.25,
        "x": 0.02,
        "y": 0.14
      },
      "kind": "title",
      "text": "Enterprise automation",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "bd2f3141-5a56-4204-b779-f68061eefad2",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "List presentation",
      "slug": "list-presentation",
      "agent": null,
      "layer": "slide",
      "matchId": "a24354e6-7cac-4718-b88d-52db0e133339",
      "evidence": "The slide presents information in a list format with bullet points.",
      "confidence": 0.7
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 150,
      "from": 70,
      "beatId": "019dd95a-0682-776c-8e34-b35a0f5ce04f",
      "arcName": "The Triple Take",
      "arcSlug": "triple-take",
      "beatName": "The Implications (So What)",
      "beatSlug": "triple-take-the-implications-so-what",
      "evidence": "Industry applications and political/labor consequences across verticals and geographies.",
      "position": 2,
      "confidence": 78,
      "parentBeatName": "Reflection",
      "parentBeatSlug": "reflection"
    },
    {
      "to": 108,
      "from": 56,
      "beatId": "019dd95a-0682-776c-8e34-c00b5f60e426",
      "arcName": "The Onion",
      "arcSlug": "onion",
      "beatName": "Deeper Layer",
      "beatSlug": "onion-deeper-layer",
      "evidence": "Talent and industry deployment across verticals.",
      "position": 3,
      "confidence": 55,
      "parentBeatName": "Development",
      "parentBeatSlug": "development"
    }
  ],
  "loops": [
    {
      "to": 108,
      "from": 86,
      "name": "Pattern Hunter",
      "slug": "02-pattern-hunter",
      "bestFor": "Time-pressed audiences, building consensus, when data is strong",
      "matchId": "019dd95a-07fe-70ce-8d3c-7a42bb8ead28",
      "evidence": "Parallel mini case studies: satellite, cybersec, warehouses, blue collar, agriculture, autonomy, finance, enterprise, materials.",
      "position": 14,
      "objective": "Catalogue vertical AI deployment evidence",
      "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
      "confidence": 72,
      "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}